Predicting major complications in patients undergoing laparoscopic and open hysterectomy for benign indications.

ABSTRACT:

Background

Hysterectomy, the most common gynecological operation, requires surgeons to counsel women about their operative risks. We aimed to develop and validate multivariable logistic regression models to predict major complications of laparoscopic or abdominal hysterectomy for benign conditions.

Methods

We obtained routinely collected health administrative data from the English National Health Service (NHS) from 2011 to 2018. We defined major complications based on core outcomes for postoperative complications including ureteric, gastrointestinal and vascular injury, and wound complications. We specified 11 predictors a priori. We used internal-external cross-validation to evaluate discrimination and calibration across 7 NHS regions in the development cohort. We validated

SUBMITTER: Madhvani K 

PROVIDER: S-EPMC9529570 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature